Scalable and Cost-Effective Assignment of Mobile Crowdsensing Tasks Based on Profiling Trends and Prediction: The ParticipAct Living Lab Experience

Nowadays, sensor-rich smartphones potentially enable the harvesting of huge amounts of valuable sensing data in urban environments, by opportunistically involving citizens to play the role of mobile virtual sensors to cover Smart City areas of interest. This paper proposes an in-depth study of the c...

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Detalles Bibliográficos
Autores principales: Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Ianniello, Raffaele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570339/
https://www.ncbi.nlm.nih.gov/pubmed/26263985
http://dx.doi.org/10.3390/s150818613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570339/
https://www.ncbi.nlm.nih.gov/pubmed/26263985
http://dx.doi.org/10.3390/s150818613

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